John M. Geppert

406 total citations
21 papers, 299 citations indexed

About

John M. Geppert is a scholar working on Finance, Economics and Econometrics and Accounting. According to data from OpenAlex, John M. Geppert has authored 21 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Finance, 12 papers in Economics and Econometrics and 9 papers in Accounting. Recurrent topics in John M. Geppert's work include Financial Markets and Investment Strategies (12 papers), Monetary Policy and Economic Impact (7 papers) and Corporate Finance and Governance (5 papers). John M. Geppert is often cited by papers focused on Financial Markets and Investment Strategies (12 papers), Monetary Policy and Economic Impact (7 papers) and Corporate Finance and Governance (5 papers). John M. Geppert collaborates with scholars based in United States, Latvia and Germany. John M. Geppert's co-authors include Richard A. DeFusco, George P. Tsetsekos, Gordon V. Karels, Haigang Zhou, Dongmin Kong, Edward R. Lawrence, Arun J. Prakash, Michael K. Pippenger, Benjamas Jirasakuldech and Thomas S. Zorn and has published in prestigious journals such as Journal of Business Finance & Accounting, Journal of Futures Markets and Review of World Economics.

In The Last Decade

John M. Geppert

19 papers receiving 273 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John M. Geppert United States 8 201 192 95 84 32 21 299
Michael Bowe United Kingdom 11 245 1.2× 175 0.9× 66 0.7× 139 1.7× 86 2.7× 27 356
Abhijeet Chandra India 10 168 0.8× 164 0.9× 24 0.3× 161 1.9× 31 1.0× 27 324
NyoNyo A. Kyaw United States 8 154 0.8× 181 0.9× 64 0.7× 214 2.5× 88 2.8× 16 361
Christopher M. Hrdlicka United States 8 255 1.3× 179 0.9× 37 0.4× 214 2.5× 67 2.1× 21 387
Vijaya Subrahmanyam United States 7 272 1.4× 161 0.8× 52 0.5× 332 4.0× 70 2.2× 15 436
Didier Cossin Switzerland 11 279 1.4× 93 0.5× 27 0.3× 168 2.0× 47 1.5× 30 386
John Paul Broussard United States 12 327 1.6× 208 1.1× 48 0.5× 166 2.0× 39 1.2× 32 402
Hal S. Scott United States 9 183 0.9× 96 0.5× 43 0.5× 84 1.0× 43 1.3× 46 264
Alexander Kurshev United States 7 383 1.9× 338 1.8× 125 1.3× 148 1.8× 36 1.1× 8 498
Rodney N. Sullivan United States 11 270 1.3× 177 0.9× 33 0.3× 129 1.5× 40 1.3× 48 337

Countries citing papers authored by John M. Geppert

Since Specialization
Citations

This map shows the geographic impact of John M. Geppert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John M. Geppert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Geppert more than expected).

Fields of papers citing papers by John M. Geppert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Geppert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John M. Geppert. The network helps show where John M. Geppert may publish in the future.

Co-authorship network of co-authors of John M. Geppert

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Geppert. A scholar is included among the top collaborators of John M. Geppert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John M. Geppert. John M. Geppert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
DeFusco, Richard A., Lee M. Dunham, & John M. Geppert. (2014). An empirical analysis of the dynamic relation among investment, earnings and dividends. Managerial Finance. 40(2). 118–136. 1 indexed citations
2.
Geppert, John M., et al.. (2013). A Variance Decomposition Analysis of the Housing Bubble. Journal of Real Estate Portfolio Management. 19(3). 235–253. 4 indexed citations
3.
Geppert, John M., et al.. (2013). Health care and the cross-section of US stock returns. Journal of Economics and Finance. 39(1). 153–170. 1 indexed citations
4.
Geppert, John M., et al.. (2011). An examination of the information content of S&P 500 index changes. Review of Accounting and Finance. 10(4). 411–426. 3 indexed citations
5.
Emekter, Riza, John M. Geppert, & Benjamas Jirasakuldech. (2011). The Effect Of Government Debt Quantity Shocks On The Term Structure Of Interest Rates. Journal of Business & Economics Research (JBER). 5(1).
6.
Zhou, Haigang, John M. Geppert, & Dongmin Kong. (2010). An Anatomy of Trading Strategies: Evidence from China. Emerging Markets Finance and Trade. 46(2). 66–79. 21 indexed citations
7.
Jirasakuldech, Benjamas, et al.. (2010). Financial disclosure, investor protection and stock market behavior: an international comparison. Review of Quantitative Finance and Accounting. 37(2). 181–205. 12 indexed citations
8.
Geppert, John M., et al.. (2010). An analysis of the importance of S&P 500 discretionary constituent changes. Review of Quantitative Finance and Accounting. 37(1). 21–34. 9 indexed citations
9.
Lawrence, Edward R., John M. Geppert, & Arun J. Prakash. (2009). An Empirical Investigation of the Campbell‐Cochrane Habit Utility Model. Journal of Business Finance & Accounting. 36(5-6). 774–791.
10.
Geppert, John M., et al.. (2008). Do tax‐exempt yields adjust slowly to substantial changes in taxable yields?. Journal of Futures Markets. 28(8). 763–789. 3 indexed citations
11.
Geppert, John M., et al.. (2008). Predicting Firm Reputation Through Content Analysis of Shareholders' Letter. Corporate Reputation Review. 11(4). 285–307. 46 indexed citations
12.
Geppert, John M., et al.. (2007). An error-correction model for forecasting changes in foreign currency futures spreads. Journal of Economics and Finance. 31(1). 122–142. 1 indexed citations
13.
Lawrence, Edward R., John M. Geppert, & Arun J. Prakash. (2007). Asset pricing models: a comparison. Applied Financial Economics. 17(11). 933–940. 14 indexed citations
14.
Geppert, John M., et al.. (2002). The Effect of Time‐Series and Cross‐Sectional Heterogeneity on Panel Unit Root Test Power. The Journal of Financial Research. 25(3). 321–335. 4 indexed citations
15.
Karels, Gordon V., John M. Geppert, & Arun J. Prakash. (1997). Deposit Insurance, Capital Adequacy Requirements and Interest Rate Dynamics. Journal of Business Finance & Accounting. 24(9-10). 1311–1330. 2 indexed citations
16.
Pippenger, Michael K. & John M. Geppert. (1997). Testing purchasing power parity in the presence of transaction costs. Applied Economics Letters. 4(10). 611–614. 7 indexed citations
17.
DeFusco, Richard A., John M. Geppert, & George P. Tsetsekos. (1996). Long‐Run Diversification Potential in Emerging Stock Markets. Financial Review. 31(2). 343–363. 100 indexed citations
18.
Geppert, John M.. (1995). A statistical model for the relationship between futures contract hedging effectiveness and investment horizon length. Journal of Futures Markets. 15(5). 507–536. 52 indexed citations
19.
Geppert, John M., et al.. (1993). Factor price equalization: a cointegration approach. Review of World Economics. 129(3). 472–487. 7 indexed citations
20.
Geppert, John M. & Gordon V. Karels. (1992). Mutually beneficial loan workouts. Journal of Economics and Finance. 16(2). 103–118. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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